贝叶斯优化一维信号非局部均值滤波超参数的Matlab程序

function [optC,optGamma] = bayesianOptimization()
%导入数据
load('signal.mat');
%将信号转成列向量
signal = signal(:);
%设置初始值
c = 0.1;
gamma = 0.1;
%设置超参数范围
searchRangeC = [0.001,100];
searchRangeGamma = [0.001,100];
%设置优化的函数
objectiveFunction = @(params) evaluateObjectiveFunction(params,signal);
%使用贝叶斯优化
results = bayesopt(objectiveFunction,[optimizableVariable('C',searchRangeC),optimizableVariable('Gamma',searchRangeGamma)],'Verbose',0);
%获取最优值
optC = results.XAtMinObjective.C;
optGamma = results.XAtMinObjective.Gamma;
end
function mse = evaluateObjectiveFunction(params,signal)
%获取超参数
c = params.C;
gamma = params.Gamma;
%进行非局部均值滤波
filteredSignal = nlmeans(signal,c,gamma);
%计算均方误差
mse = mean((signal-filteredSignal).^2);
end